Influence of volunteer and project characteristics on data quality of biological surveys. Issue 3 (19th March 2015)
- Record Type:
- Journal Article
- Title:
- Influence of volunteer and project characteristics on data quality of biological surveys. Issue 3 (19th March 2015)
- Main Title:
- Influence of volunteer and project characteristics on data quality of biological surveys
- Authors:
- Lewandowski, Eva
Specht, Hannah - Abstract:
- Abstract: Volunteer involvement in biological surveys is becoming common in conservation and ecology, prompting questions on the quality of data collected in such surveys. In a systematic review of the peer‐reviewed literature on the quality of data collected by volunteers, we examined the characteristics of volunteers (e.g., age, prior knowledge) and projects (e.g., systematic vs. opportunistic monitoring schemes) that affect data quality with regards to standardization of sampling, accuracy and precision of data collection, spatial and temporal representation of data, and sample size. Most studies (70%, n = 71) focused on the act of data collection. The majority of assessments of volunteer characteristics (58%, n = 93) examined the effect of prior knowledge and experience on quality of the data collected, often by comparing volunteers with experts or professionals, who were usually assumed to collect higher quality data. However, when both groups' data were compared with the same accuracy standard, professional data were more accurate in only 4 of 7 cases. The few studies that measured precision of volunteer and professional data did not conclusively show that professional data were less variable than volunteer data. To improve data quality, studies recommended changes to survey protocols, volunteer training, statistical analyses, and project structure (e.g., volunteer recruitment and retention). Abstract : Influencia de las Características del Proyecto y de losAbstract: Volunteer involvement in biological surveys is becoming common in conservation and ecology, prompting questions on the quality of data collected in such surveys. In a systematic review of the peer‐reviewed literature on the quality of data collected by volunteers, we examined the characteristics of volunteers (e.g., age, prior knowledge) and projects (e.g., systematic vs. opportunistic monitoring schemes) that affect data quality with regards to standardization of sampling, accuracy and precision of data collection, spatial and temporal representation of data, and sample size. Most studies (70%, n = 71) focused on the act of data collection. The majority of assessments of volunteer characteristics (58%, n = 93) examined the effect of prior knowledge and experience on quality of the data collected, often by comparing volunteers with experts or professionals, who were usually assumed to collect higher quality data. However, when both groups' data were compared with the same accuracy standard, professional data were more accurate in only 4 of 7 cases. The few studies that measured precision of volunteer and professional data did not conclusively show that professional data were less variable than volunteer data. To improve data quality, studies recommended changes to survey protocols, volunteer training, statistical analyses, and project structure (e.g., volunteer recruitment and retention). Abstract : Influencia de las Características del Proyecto y de los Voluntarios sobre la Calidad de Datos de los Sondeos Biológicos Resumen: El involucramiento de voluntarios en los sondeos biológicos cada vez se vuelve más común en la conservación y en la ecología, lo que da lugar a preguntas sobre la calidad de los datos colectados en dichos sondeos. En una revisión sistemática de la literatura revisada por colegas sobre la calidad de datos colectados por voluntarios, examinamos las características de los voluntarios (p. ej.: edad, conocimiento previo) y de los proyectos (p. ej.: sistemática vs. esquemas de monitoreo oportunista) que afectan a la calidad de los datos con respecto a la estandarización del muestreo, la exactitud y la precisión de la colecta de datos, la representación espacial y temporal de los datos y el tamaño de la muestra. La mayoría de los estudios (70%, n=71) se enfocaron en el acto de la colecta de datos. La mayoría de las evaluaciones de las características de los voluntarios (58%, n = 93) examinaron el efecto del conocimiento previo y la experiencia sobre la calidad de los datos colectados, con frecuencia al comparar a los voluntarios con expertos o profesionales, quienes se asume usualmente colectan datos de más alta calidad. Sin embargo, cuando se compararon los datos de ambos grupos con el mismo estándar de exactitud, los datos profesionales fueron más certeros en sólo cuatro de siete casos. Los pocos estudios que midieron la precisión de los datos de profesionales y de voluntarios no mostraron conclusivamente que los datos de profesionales eran menos variables que los datos de los voluntarios. Para mejorar la calidad de los datos, los estudios recomiendan cambios en los protocolos de los censos, el entrenamiento de los voluntarios, los análisis estadísticos y la estructura del proyecto (p. ej.: reclutamiento de voluntarios y retención). … (more)
- Is Part Of:
- Conservation biology. Volume 29:Issue 3(2015)
- Journal:
- Conservation biology
- Issue:
- Volume 29:Issue 3(2015)
- Issue Display:
- Volume 29, Issue 3 (2015)
- Year:
- 2015
- Volume:
- 29
- Issue:
- 3
- Issue Sort Value:
- 2015-0029-0003-0000
- Page Start:
- 713
- Page End:
- 723
- Publication Date:
- 2015-03-19
- Subjects:
- citizen science -- experience -- motivation -- recruitment -- retention -- training -- ciencia ciudadana -- entrenamiento -- experiencia -- motivación -- reclutamiento -- retención
Conservation biology -- Periodicals
333.9516 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1523-1739 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/cobi.12481 ↗
- Languages:
- English
- ISSNs:
- 0888-8892
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3417.999000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26749.xml